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Mental Workload

2004
Mental workload (MWL) is a pervasive concept throughout the ergonomics and human factors literature (e.g., Sanders and McCormick, 1993; Singleton, 1989), and it is a topic of increasing importance. As modern technology in many working environments imposes greater cognitive demands upon operators than physical demands (Singleton, 1989), the ...
Young, Mark S., Stanton, Neville A.
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Mental Workload Assessment

2020 Chinese Automation Congress (CAC), 2020
Mental Workload (MWL) represents the occupancy of brain resources under working conditions and is one of the important auxiliary strategies for adaptive automation. This article uses different levels of drone simulation tasks to induce different levels of MWL, records the EEG during the control of the drone, and combines the subjective scale to explore
Qiankun Zhang, Xiaoli Li, Jiaqin Yan
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EEG-Based Mental Workload Estimation

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
Knowledge of the level of mental workload induced by any task is essential for optimizing load share among the operators. This helps in assessing their capability; besides, helping in task allocation. Since a persistently high workload experienced by operators such as aircraft pilots and automobile drivers many times compromises their performance and ...
Shabnam, Samima, Monalisa, Sarma
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Subjective Mental Workload

Human Factors: The Journal of the Human Factors and Ergonomics Society, 1982
Subjective workload is of increasing importance in user-machine systems, as the role of the human operator becomes less to control and more to monitor complex systems. This paper reviews the relationship between physical, cognitive, manual-control, and time-stress tasks and the subjective load experienced by an operator.
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Modeling Mental Workload

1997
Abstract : The primary objective of the research project was to investigate models for monitoring and predicting subjective workload in the control of complex systems. Such models would enable systems to use workload levels to distribute tasks optimally in addition to identifying levels of workload, which could lead to a serious breakdown in ...
Sean Rice   +3 more
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Multiple Resources and Mental Workload

Human Factors: The Journal of the Human Factors and Ergonomics Society, 2008
Objective: The objective is to lay out the rationale for multiple resource theory and the particular 4-D multiple resource model, as well as to show how the model is useful both as a design tool and as a means of predicting multitask workload overload. Background: I describe the discoveries and developments regarding multiple resource theory that have
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The Workload Curve

Human Factors: The Journal of the Human Factors and Ergonomics Society, 2015
Objective: In this paper I begin looking for evidence of a subjective workload curve. Background: Results from subjective mental workload assessments are often interpreted linearly. However, I hypothesized that ratings of subjective mental workload increase nonlinearly with unitary increases in working memory load.
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Workload profiles: A continuous measure of mental workload

International Journal of Industrial Ergonomics, 2018
Abstract The required frequency and disruptive method in which existing subjective measures of mental workload are collected make them infeasible for many types of task allocation decisions. In this paper, we present a method for continually estimating workload without interrupting the operator.
Christina F. Rusnock, Brett J. Borghetti
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Measuring Perceived Mental Workload in Children

The American Journal of Psychology, 2014
Abstract Little is known about the mental workload, or psychological costs, associated with information processing tasks in children. We adapted the highly regarded NASA Task Load Index (NASATLX) multidimensional workload scale (Hart and Staveland, 1988) to test its efficacy for use with elementary school children.
Cynthia, Laurie-Rose   +3 more
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Assessing Mental Workload During Laparoscopic Surgery

Surgical Innovation, 2005
Although the use of performance efficiency measures (speed, movement economy, errors) and ergonomic assessments are relatively well established, the evaluation of cognitive outcomes is rare. This report makes the case for assessment strategies that include mental workload measures as a way to improve training scenarios and training/operating ...
C Melody, Carswell   +2 more
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